Maolin Xiao

Papers

Total Citations

H-Index

About

Maolin Xiao is a researcher whose work centers on robotics and virtual simulation, with a particular focus on collision detection in off-line programming systems. His most cited paper, "A collision detection algorithm of Robot in off-line programming system" (2014), addresses a critical challenge in robotic automation: ensuring accurate and efficient collision detection within virtual environments. This contribution is foundational for improving the realism and reliability of robot trajectory planning, directly impacting the development of safer and more effective industrial robotic systems. While his citation count is modest—with this key paper garnering 3 citations—Xiao’s work represents a targeted effort to enhance the fidelity of virtual simulation tools, a vital step for advancing off-line programming. His research underscores the importance of algorithmic precision in bridging the gap between virtual planning and real-world robotic execution, making his contributions valuable for students and engineers seeking to understand the technical underpinnings of modern robotic simulation and automation.